Initial commit
Browse files- README.md +101 -1
- all_results.json +18 -0
- config.json +29 -0
- eval_results.json +13 -0
- events.out.tfevents.1650990572.pg-gpu10.21629.2 +3 -0
- flax_model.msgpack +3 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- spiece.model +3 -0
- tf_model.h5 +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +2111 -0
- training_args.bin +3 -0
README.md
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---
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-
license:
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---
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---
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- it5/datasets
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metrics:
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- rouge
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model-index:
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- name: it5-efficient-small-el32-fst-f2i-0.0003
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results:
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- task:
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name: Summarization
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type: summarization
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dataset:
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name: it5/datasets fst
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type: it5/datasets
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args: fst
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metrics:
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- name: Rouge1
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type: rouge
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value: 56.585
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# it5-efficient-small-el32-fst-f2i-0.0003
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This model is a fine-tuned version of [stefan-it/it5-efficient-small-el32](https://huggingface.co/stefan-it/it5-efficient-small-el32) on the it5/datasets fst dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2160
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- Rouge1: 56.585
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- Rouge2: 36.9335
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- Rougel: 53.7782
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- Rougelsum: 53.7779
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- Gen Len: 13.0891
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| 2.9377 | 0.35 | 5000 | 2.5157 | 54.6148 | 35.1518 | 51.8908 | 51.8957 | 12.8717 |
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| 2.803 | 0.7 | 10000 | 2.4086 | 55.641 | 36.1214 | 52.8683 | 52.8572 | 12.7513 |
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| 2.5483 | 1.05 | 15000 | 2.3420 | 55.6604 | 36.0085 | 52.9599 | 52.9433 | 12.7754 |
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| 2.4978 | 1.39 | 20000 | 2.3145 | 56.204 | 36.5896 | 53.338 | 53.3351 | 12.8804 |
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| 2.5383 | 1.74 | 25000 | 2.2697 | 56.1356 | 36.6963 | 53.3579 | 53.3664 | 12.795 |
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| 2.3368 | 2.09 | 30000 | 2.2603 | 56.0271 | 36.4249 | 53.3113 | 53.3272 | 12.7478 |
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| 2.371 | 2.44 | 35000 | 2.2328 | 56.5041 | 36.8718 | 53.8064 | 53.7995 | 12.8243 |
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| 2.3567 | 2.79 | 40000 | 2.2079 | 56.5318 | 36.9437 | 53.8359 | 53.8254 | 12.6851 |
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| 2.1753 | 3.14 | 45000 | 2.2168 | 56.3831 | 36.8896 | 53.6542 | 53.6708 | 12.67 |
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| 2.2069 | 3.48 | 50000 | 2.2055 | 56.7171 | 37.1665 | 53.9299 | 53.9259 | 12.8014 |
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| 2.2396 | 3.83 | 55000 | 2.1801 | 56.936 | 37.5465 | 54.1064 | 54.1125 | 12.7989 |
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| 2.0657 | 4.18 | 60000 | 2.1915 | 56.6312 | 37.1618 | 53.8646 | 53.8791 | 12.6987 |
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| 2.0806 | 4.53 | 65000 | 2.1809 | 56.6599 | 37.1282 | 53.8838 | 53.8781 | 12.715 |
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| 2.0933 | 4.88 | 70000 | 2.1771 | 56.5891 | 36.9461 | 53.8058 | 53.8087 | 12.6593 |
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| 1.9949 | 5.23 | 75000 | 2.1932 | 56.4956 | 36.9679 | 53.7634 | 53.7731 | 12.6723 |
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| 1.9954 | 5.57 | 80000 | 2.1813 | 56.4827 | 36.8319 | 53.6397 | 53.6399 | 12.6599 |
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| 1.9912 | 5.92 | 85000 | 2.1755 | 56.6723 | 37.0432 | 53.8339 | 53.8233 | 12.7534 |
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| 1.9068 | 6.27 | 90000 | 2.1849 | 56.6574 | 37.0691 | 53.9029 | 53.892 | 12.7037 |
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| 1.9173 | 6.62 | 95000 | 2.1787 | 56.5701 | 36.861 | 53.6855 | 53.6699 | 12.6467 |
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| 1.9131 | 6.97 | 100000 | 2.1862 | 56.7175 | 37.0749 | 53.8761 | 53.8794 | 12.7072 |
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| 1.8164 | 7.32 | 105000 | 2.1999 | 56.6104 | 37.0809 | 53.8098 | 53.8216 | 12.6364 |
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| 1.8489 | 7.66 | 110000 | 2.1945 | 56.6645 | 37.1267 | 53.9009 | 53.9008 | 12.5741 |
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| 1.82 | 8.01 | 115000 | 2.2075 | 56.6075 | 37.0359 | 53.8792 | 53.8833 | 12.6428 |
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| 1.772 | 8.36 | 120000 | 2.2067 | 56.4716 | 36.8675 | 53.6826 | 53.6742 | 12.6591 |
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| 1.7795 | 8.71 | 125000 | 2.2056 | 56.4112 | 36.9011 | 53.6554 | 53.6495 | 12.608 |
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| 1.72 | 9.06 | 130000 | 2.2197 | 56.4735 | 36.9255 | 53.6592 | 53.6463 | 12.6758 |
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| 1.7174 | 9.41 | 135000 | 2.2169 | 56.4209 | 36.8139 | 53.5778 | 53.5685 | 12.6568 |
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| 1.7466 | 9.75 | 140000 | 2.2165 | 56.3715 | 36.767 | 53.555 | 53.5468 | 12.6416 |
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### Framework versions
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- Transformers 4.15.0
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- Pytorch 1.10.0+cu102
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- Datasets 1.17.0
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- Tokenizers 0.10.3
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all_results.json
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{
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"epoch": 10.0,
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"eval_gen_len": 13.0891,
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"eval_loss": 2.216015100479126,
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"eval_rouge1": 56.585,
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"eval_rouge2": 36.9335,
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"eval_rougeL": 53.7782,
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"eval_rougeLsum": 53.7779,
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"eval_runtime": 130.6991,
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"eval_samples": 4849,
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"eval_samples_per_second": 37.1,
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"eval_steps_per_second": 4.644,
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"train_loss": 2.137477010615576,
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"train_runtime": 24602.576,
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"train_samples": 114830,
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"train_samples_per_second": 46.674,
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"train_steps_per_second": 5.834
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}
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config.json
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{
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"_name_or_path": ".",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"d_ff": 2048,
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"d_kv": 64,
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"d_model": 512,
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"decoder_start_token_id": 0,
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "relu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers": 6,
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"num_heads": 8,
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"num_layers": 32,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"torch_dtype": "float32",
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"transformers_version": "4.15.0",
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"use_cache": true,
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"vocab_size": 32100
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}
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eval_results.json
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{
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"epoch": 10.0,
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"eval_gen_len": 13.0891,
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"eval_loss": 2.216015100479126,
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"eval_rouge1": 56.585,
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"eval_rouge2": 36.9335,
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"eval_rougeL": 53.7782,
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"eval_rougeLsum": 53.7779,
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"eval_runtime": 130.6991,
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"eval_samples": 4849,
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"eval_samples_per_second": 37.1,
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"eval_steps_per_second": 4.644
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}
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events.out.tfevents.1650990572.pg-gpu10.21629.2
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size 575
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flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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pytorch_model.bin
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special_tokens_map.json
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{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "additional_special_tokens": ["<extra_id_0>", "<extra_id_1>", "<extra_id_2>", "<extra_id_3>", "<extra_id_4>", "<extra_id_5>", "<extra_id_6>", "<extra_id_7>", "<extra_id_8>", "<extra_id_9>", "<extra_id_10>", "<extra_id_11>", "<extra_id_12>", "<extra_id_13>", "<extra_id_14>", "<extra_id_15>", "<extra_id_16>", "<extra_id_17>", "<extra_id_18>", "<extra_id_19>", "<extra_id_20>", "<extra_id_21>", "<extra_id_22>", "<extra_id_23>", "<extra_id_24>", "<extra_id_25>", "<extra_id_26>", "<extra_id_27>", "<extra_id_28>", "<extra_id_29>", "<extra_id_30>", "<extra_id_31>", "<extra_id_32>", "<extra_id_33>", "<extra_id_34>", "<extra_id_35>", "<extra_id_36>", "<extra_id_37>", "<extra_id_38>", "<extra_id_39>", "<extra_id_40>", "<extra_id_41>", "<extra_id_42>", "<extra_id_43>", "<extra_id_44>", "<extra_id_45>", "<extra_id_46>", "<extra_id_47>", "<extra_id_48>", "<extra_id_49>", "<extra_id_50>", "<extra_id_51>", "<extra_id_52>", "<extra_id_53>", "<extra_id_54>", "<extra_id_55>", "<extra_id_56>", "<extra_id_57>", "<extra_id_58>", "<extra_id_59>", "<extra_id_60>", "<extra_id_61>", "<extra_id_62>", "<extra_id_63>", "<extra_id_64>", "<extra_id_65>", "<extra_id_66>", "<extra_id_67>", "<extra_id_68>", "<extra_id_69>", "<extra_id_70>", "<extra_id_71>", "<extra_id_72>", "<extra_id_73>", "<extra_id_74>", "<extra_id_75>", "<extra_id_76>", "<extra_id_77>", "<extra_id_78>", "<extra_id_79>", "<extra_id_80>", "<extra_id_81>", "<extra_id_82>", "<extra_id_83>", "<extra_id_84>", "<extra_id_85>", "<extra_id_86>", "<extra_id_87>", "<extra_id_88>", "<extra_id_89>", "<extra_id_90>", "<extra_id_91>", "<extra_id_92>", "<extra_id_93>", "<extra_id_94>", "<extra_id_95>", "<extra_id_96>", "<extra_id_97>", "<extra_id_98>", "<extra_id_99>"]}
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spiece.model
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tf_model.h5
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tokenizer.json
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tokenizer_config.json
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train_results.json
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{
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}
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trainer_state.json
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